Statistical Quality Control Handbook
Author: Western Electric Company
Publisher:
Published: 1958
Total Pages: 0
ISBN-13:
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Introduction to Statistical Quality Control
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
Published: 2019-12-30
Total Pages: 773
ISBN-13: 1119657113
DOWNLOAD EBOOK"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
Managing, Controlling, and Improving Quality
Author: Douglas C. Montgomery
Publisher: Wiley
Published: 2010-04-12
Total Pages: 0
ISBN-13: 9780471697916
DOWNLOAD EBOOKThis book presents an organized approach to quality management, control, and improvement. Because quality problems usually are the outcome of uncontrolled or excessive variability, statistical tools and other analytical methods play an important role in solving these problems. However, these techniques need to be implemented within a management structure that will ensure success. This text focuses on both the management structure and the statistical and analytical tools. It organizes and presents this material according to many years of teaching, research, and professional practice across a wide range of business and industrial settings.
Juran's Quality Handbook
Author: J. M. Juran
Publisher: McGraw Hill Professional
Published: 1999-01-21
Total Pages: 24
ISBN-13: 0071386874
DOWNLOAD EBOOKFor decades, Juran's Quality Handbook has been the one essential reference in quality management and engineering—the ultimate authoritative source of answers on quality applications, procedures, techniques, and strategies. Now this Fifth Edition—a major revision and the first new edition of Juran's Quality Handbook in more than 10 years—forges a new standard in tools for quality. Bringing managers and engineers the most up-to-date methods, research, and theory, under the guidance of a team of the world's top experts, Juran's shows you how to plan for quality, achieve quality control, and ensure quality results. Packed with new methods, research, and thought on quality, and emphasizing the need for quality software and quality software development methods, this completely updated classic also gives you new information, new techniques, and new applications. Broad in scope and inclusive in methodology, Juran's Quality Handbook is the reference of choice for anyone concerned with quality in business, manufacturing, or engineering. Whether you're just beginning your journey or a longtime traveler on the quality path, this book is the best possible companion for your voyage.
Statistical Quality Assurance Methods for Engineers
Author: Stephen B. Vardeman
Publisher:
Published: 1999
Total Pages: 584
ISBN-13:
DOWNLOAD EBOOKThe Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text * Provides a coherent presentation of the role of statistics in quality assurance. * Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader. * Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets. * The implementation of statistical tools is user-friendly. * The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).
Handbook of Statistical Analysis and Data Mining Applications
Author: Ken Yale
Publisher: Elsevier
Published: 2017-11-09
Total Pages: 824
ISBN-13: 0124166458
DOWNLOAD EBOOKHandbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Statistical Process Control Demystified
Author: Paul A. Keller
Publisher: McGraw Hill Professional
Published: 2011-06-05
Total Pages: 319
ISBN-13: 0071742506
DOWNLOAD EBOOKINCREASE your odds of learning STATISTICAL process control (SPC) Identify and reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace. Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Control chart interpretation Overcoming common errors in the use of SPC and general statistical analysis tools Sampling requirements Analysis using Excel Estimating process variation Designed experiments Measurement systems analysis, including R&R studies Continuous process improvement strategies Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.
Statistical quality control
Author: Eugene L. Grant
Publisher:
Published: 1985
Total Pages: 684
ISBN-13:
DOWNLOAD EBOOKStatistical Process Adjustment for Quality Control
Author: Enrique del Castillo
Publisher: Wiley-Interscience
Published: 2002-04-04
Total Pages: 390
ISBN-13:
DOWNLOAD EBOOKQuality control is a major concern and the best method for ensuring proper quality is to establish process adjustments. This text presents statistical methods for process adjustment and their relation to the classical methods of process monitoring.
